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add conversational retrieval agent
This commit is contained in:
Henry
@@ -0,0 +1,607 @@
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{
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"description": "Agent optimized for vector retrieval during conversation and answering questions based on previous dialogue.",
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"nodes": [
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{
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"width": 300,
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"height": 523,
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"id": "chatOpenAI_0",
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"position": {
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"x": 1381.867549919116,
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"y": 212.76900895393834
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},
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"type": "customNode",
|
||||
"data": {
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"id": "chatOpenAI_0",
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"label": "ChatOpenAI",
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"version": 1,
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"name": "chatOpenAI",
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"type": "ChatOpenAI",
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"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
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"category": "Chat Models",
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"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
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"inputParams": [
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{
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"label": "Connect Credential",
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"name": "credential",
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"type": "credential",
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"credentialNames": ["openAIApi"],
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"id": "chatOpenAI_0-input-credential-credential"
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},
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{
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"label": "Model Name",
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"name": "modelName",
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"type": "options",
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"options": [
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{
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"label": "gpt-4",
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"name": "gpt-4"
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},
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{
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"label": "gpt-4-0613",
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"name": "gpt-4-0613"
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},
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{
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"label": "gpt-4-32k",
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"name": "gpt-4-32k"
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},
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{
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"label": "gpt-4-32k-0613",
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"name": "gpt-4-32k-0613"
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},
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{
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"label": "gpt-3.5-turbo",
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"name": "gpt-3.5-turbo"
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},
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{
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"label": "gpt-3.5-turbo-0613",
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"name": "gpt-3.5-turbo-0613"
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},
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{
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"label": "gpt-3.5-turbo-16k",
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"name": "gpt-3.5-turbo-16k"
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},
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{
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"label": "gpt-3.5-turbo-16k-0613",
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"name": "gpt-3.5-turbo-16k-0613"
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}
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],
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"default": "gpt-3.5-turbo",
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"optional": true,
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"id": "chatOpenAI_0-input-modelName-options"
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},
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{
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"label": "Temperature",
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"name": "temperature",
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"type": "number",
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"default": 0.9,
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"optional": true,
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"id": "chatOpenAI_0-input-temperature-number"
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},
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{
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"label": "Max Tokens",
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"name": "maxTokens",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-maxTokens-number"
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},
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{
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"label": "Top Probability",
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"name": "topP",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-topP-number"
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},
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{
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"label": "Frequency Penalty",
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"name": "frequencyPenalty",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-frequencyPenalty-number"
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},
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{
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"label": "Presence Penalty",
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"name": "presencePenalty",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-presencePenalty-number"
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},
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{
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"label": "Timeout",
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"name": "timeout",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-timeout-number"
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},
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{
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"label": "BasePath",
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"name": "basepath",
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"type": "string",
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-basepath-string"
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}
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],
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"inputAnchors": [],
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"inputs": {
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"modelName": "gpt-3.5-turbo-16k",
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"temperature": "0",
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"maxTokens": "",
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"topP": "",
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"frequencyPenalty": "",
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"presencePenalty": "",
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"timeout": "",
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"basepath": ""
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},
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"outputAnchors": [
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{
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"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
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"name": "chatOpenAI",
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"label": "ChatOpenAI",
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"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
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}
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],
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"outputs": {},
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"selected": false
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},
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"selected": false,
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"positionAbsolute": {
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"x": 1381.867549919116,
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"y": 212.76900895393834
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},
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"dragging": false
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},
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{
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"width": 300,
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"height": 329,
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"id": "openAIEmbeddings_0",
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"position": {
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"x": 954.0674802999345,
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"y": -196.7034956445692
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},
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"type": "customNode",
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"data": {
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"id": "openAIEmbeddings_0",
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"label": "OpenAI Embeddings",
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"version": 1,
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"name": "openAIEmbeddings",
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"type": "OpenAIEmbeddings",
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"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
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"category": "Embeddings",
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"description": "OpenAI API to generate embeddings for a given text",
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"inputParams": [
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{
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"label": "Connect Credential",
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"name": "credential",
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"type": "credential",
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"credentialNames": ["openAIApi"],
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"id": "openAIEmbeddings_0-input-credential-credential"
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},
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{
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"label": "Strip New Lines",
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"name": "stripNewLines",
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"type": "boolean",
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"optional": true,
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"additionalParams": true,
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"id": "openAIEmbeddings_0-input-stripNewLines-boolean"
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},
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{
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"label": "Batch Size",
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"name": "batchSize",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "openAIEmbeddings_0-input-batchSize-number"
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},
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{
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"label": "Timeout",
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"name": "timeout",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "openAIEmbeddings_0-input-timeout-number"
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},
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{
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"label": "BasePath",
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"name": "basepath",
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"type": "string",
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"optional": true,
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"additionalParams": true,
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"id": "openAIEmbeddings_0-input-basepath-string"
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}
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],
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"inputAnchors": [],
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"inputs": {
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"stripNewLines": "",
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"batchSize": "",
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"timeout": "",
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"basepath": ""
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},
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"outputAnchors": [
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{
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"id": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
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"name": "openAIEmbeddings",
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"label": "OpenAIEmbeddings",
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"type": "OpenAIEmbeddings | Embeddings"
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}
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],
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"outputs": {},
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"selected": false
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},
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"selected": false,
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||||
"positionAbsolute": {
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"x": 954.0674802999345,
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"y": -196.7034956445692
|
||||
},
|
||||
"dragging": false
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},
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{
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"width": 300,
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"height": 505,
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"id": "pineconeExistingIndex_0",
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"position": {
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"x": 1362.0018461011314,
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"y": -334.0373537488481
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},
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"type": "customNode",
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"data": {
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"id": "pineconeExistingIndex_0",
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"label": "Pinecone Load Existing Index",
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"version": 1,
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"name": "pineconeExistingIndex",
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"type": "Pinecone",
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"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "Load existing index from Pinecone (i.e: Document has been upserted)",
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"inputParams": [
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{
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"label": "Connect Credential",
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"name": "credential",
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"type": "credential",
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"credentialNames": ["pineconeApi"],
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"id": "pineconeExistingIndex_0-input-credential-credential"
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},
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{
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"label": "Pinecone Index",
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"name": "pineconeIndex",
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"type": "string",
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"id": "pineconeExistingIndex_0-input-pineconeIndex-string"
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},
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{
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"label": "Pinecone Namespace",
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"name": "pineconeNamespace",
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"type": "string",
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"placeholder": "my-first-namespace",
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"additionalParams": true,
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"optional": true,
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"id": "pineconeExistingIndex_0-input-pineconeNamespace-string"
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},
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{
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"label": "Pinecone Metadata Filter",
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"name": "pineconeMetadataFilter",
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"type": "json",
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"optional": true,
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"additionalParams": true,
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"id": "pineconeExistingIndex_0-input-pineconeMetadataFilter-json"
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},
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{
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"label": "Top K",
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"name": "topK",
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"description": "Number of top results to fetch. Default to 4",
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"placeholder": "4",
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"type": "number",
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"additionalParams": true,
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"optional": true,
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"id": "pineconeExistingIndex_0-input-topK-number"
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||||
}
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],
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"inputAnchors": [
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{
|
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"label": "Embeddings",
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"name": "embeddings",
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"type": "Embeddings",
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"id": "pineconeExistingIndex_0-input-embeddings-Embeddings"
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}
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],
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"inputs": {
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"embeddings": "{{openAIEmbeddings_0.data.instance}}",
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"pineconeIndex": "newindex",
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"pineconeNamespace": "",
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"pineconeMetadataFilter": "",
|
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"topK": ""
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},
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"outputAnchors": [
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{
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"name": "output",
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"label": "Output",
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"type": "options",
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"options": [
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{
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"id": "pineconeExistingIndex_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
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"name": "retriever",
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"label": "Pinecone Retriever",
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"type": "Pinecone | VectorStoreRetriever | BaseRetriever"
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},
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||||
{
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||||
"id": "pineconeExistingIndex_0-output-vectorStore-Pinecone|VectorStore",
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"name": "vectorStore",
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"label": "Pinecone Vector Store",
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"type": "Pinecone | VectorStore"
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}
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],
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"default": "retriever"
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}
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||||
],
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"outputs": {
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"output": "retriever"
|
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},
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"selected": false
|
||||
},
|
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"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1362.0018461011314,
|
||||
"y": -334.0373537488481
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
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||||
"width": 300,
|
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"height": 383,
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"id": "conversationalRetrievalAgent_0",
|
||||
"position": {
|
||||
"x": 2345.912948267881,
|
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"y": 357.97363342258217
|
||||
},
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"type": "customNode",
|
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"data": {
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||||
"id": "conversationalRetrievalAgent_0",
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"label": "Conversational Retrieval Agent",
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"version": 1,
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"name": "conversationalRetrievalAgent",
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"type": "AgentExecutor",
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"baseClasses": ["AgentExecutor", "BaseChain", "Runnable"],
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"category": "Agents",
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"description": "An agent optimized for retrieval during conversation, answering questions based on past dialogue, all using OpenAI's Function Calling",
|
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"inputParams": [
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{
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||||
"label": "System Message",
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||||
"name": "systemMessage",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "conversationalRetrievalAgent_0-input-systemMessage-string"
|
||||
}
|
||||
],
|
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"inputAnchors": [
|
||||
{
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||||
"label": "Allowed Tools",
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||||
"name": "tools",
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||||
"type": "Tool",
|
||||
"list": true,
|
||||
"id": "conversationalRetrievalAgent_0-input-tools-Tool"
|
||||
},
|
||||
{
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||||
"label": "Memory",
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||||
"name": "memory",
|
||||
"type": "BaseChatMemory",
|
||||
"id": "conversationalRetrievalAgent_0-input-memory-BaseChatMemory"
|
||||
},
|
||||
{
|
||||
"label": "OpenAI Chat Model",
|
||||
"name": "model",
|
||||
"type": "ChatOpenAI",
|
||||
"id": "conversationalRetrievalAgent_0-input-model-ChatOpenAI"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"tools": ["{{retrieverTool_0.data.instance}}"],
|
||||
"memory": "{{bufferMemory_0.data.instance}}",
|
||||
"model": "{{chatOpenAI_0.data.instance}}",
|
||||
"systemMessage": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "conversationalRetrievalAgent_0-output-conversationalRetrievalAgent-AgentExecutor|BaseChain|Runnable",
|
||||
"name": "conversationalRetrievalAgent",
|
||||
"label": "AgentExecutor",
|
||||
"type": "AgentExecutor | BaseChain | Runnable"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 2345.912948267881,
|
||||
"y": 357.97363342258217
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 505,
|
||||
"id": "retrieverTool_0",
|
||||
"position": {
|
||||
"x": 1770.1485365275375,
|
||||
"y": -321.14473253480946
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "retrieverTool_0",
|
||||
"label": "Retriever Tool",
|
||||
"version": 1,
|
||||
"name": "retrieverTool",
|
||||
"type": "RetrieverTool",
|
||||
"baseClasses": ["RetrieverTool", "DynamicTool", "Tool", "StructuredTool", "Runnable"],
|
||||
"category": "Tools",
|
||||
"description": "Use a retriever as allowed tool for agent",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Retriever Name",
|
||||
"name": "name",
|
||||
"type": "string",
|
||||
"placeholder": "search_state_of_union",
|
||||
"id": "retrieverTool_0-input-name-string"
|
||||
},
|
||||
{
|
||||
"label": "Retriever Description",
|
||||
"name": "description",
|
||||
"type": "string",
|
||||
"description": "When should agent uses to retrieve documents",
|
||||
"rows": 3,
|
||||
"placeholder": "Searches and returns documents regarding the state-of-the-union.",
|
||||
"id": "retrieverTool_0-input-description-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Retriever",
|
||||
"name": "retriever",
|
||||
"type": "BaseRetriever",
|
||||
"id": "retrieverTool_0-input-retriever-BaseRetriever"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"name": "search_website",
|
||||
"description": "Searches and return documents regarding Jane - a culinary institution that offers top quality coffee, pastries, breakfast, lunch, and a variety of baked goods. They have multiple locations, including Jane on Fillmore, Jane on Larkin, Jane the Bakery, Toy Boat By Jane, and Little Jane on Grant. They emphasize healthy eating with a focus on flavor and quality ingredients. They bake everything in-house and work with local suppliers to source ingredients directly from farmers. They also offer catering services and delivery options.",
|
||||
"retriever": "{{pineconeExistingIndex_0.data.instance}}"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "retrieverTool_0-output-retrieverTool-RetrieverTool|DynamicTool|Tool|StructuredTool|Runnable",
|
||||
"name": "retrieverTool",
|
||||
"label": "RetrieverTool",
|
||||
"type": "RetrieverTool | DynamicTool | Tool | StructuredTool | Runnable"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"dragging": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1770.1485365275375,
|
||||
"y": -321.14473253480946
|
||||
}
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 376,
|
||||
"id": "bufferMemory_0",
|
||||
"position": {
|
||||
"x": 1771.396291209036,
|
||||
"y": 216.94151328212496
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "bufferMemory_0",
|
||||
"label": "Buffer Memory",
|
||||
"version": 1,
|
||||
"name": "bufferMemory",
|
||||
"type": "BufferMemory",
|
||||
"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
|
||||
"category": "Memory",
|
||||
"description": "Remembers previous conversational back and forths directly",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Memory Key",
|
||||
"name": "memoryKey",
|
||||
"type": "string",
|
||||
"default": "chat_history",
|
||||
"id": "bufferMemory_0-input-memoryKey-string"
|
||||
},
|
||||
{
|
||||
"label": "Input Key",
|
||||
"name": "inputKey",
|
||||
"type": "string",
|
||||
"default": "input",
|
||||
"id": "bufferMemory_0-input-inputKey-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"memoryKey": "chat_history",
|
||||
"inputKey": "input"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
|
||||
"name": "bufferMemory",
|
||||
"label": "BufferMemory",
|
||||
"type": "BufferMemory | BaseChatMemory | BaseMemory"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1771.396291209036,
|
||||
"y": 216.94151328212496
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "openAIEmbeddings_0",
|
||||
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
|
||||
"target": "pineconeExistingIndex_0",
|
||||
"targetHandle": "pineconeExistingIndex_0-input-embeddings-Embeddings",
|
||||
"type": "buttonedge",
|
||||
"id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-pineconeExistingIndex_0-pineconeExistingIndex_0-input-embeddings-Embeddings",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "pineconeExistingIndex_0",
|
||||
"sourceHandle": "pineconeExistingIndex_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
|
||||
"target": "retrieverTool_0",
|
||||
"targetHandle": "retrieverTool_0-input-retriever-BaseRetriever",
|
||||
"type": "buttonedge",
|
||||
"id": "pineconeExistingIndex_0-pineconeExistingIndex_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever-retrieverTool_0-retrieverTool_0-input-retriever-BaseRetriever",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "retrieverTool_0",
|
||||
"sourceHandle": "retrieverTool_0-output-retrieverTool-RetrieverTool|DynamicTool|Tool|StructuredTool|Runnable",
|
||||
"target": "conversationalRetrievalAgent_0",
|
||||
"targetHandle": "conversationalRetrievalAgent_0-input-tools-Tool",
|
||||
"type": "buttonedge",
|
||||
"id": "retrieverTool_0-retrieverTool_0-output-retrieverTool-RetrieverTool|DynamicTool|Tool|StructuredTool|Runnable-conversationalRetrievalAgent_0-conversationalRetrievalAgent_0-input-tools-Tool",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
|
||||
"target": "conversationalRetrievalAgent_0",
|
||||
"targetHandle": "conversationalRetrievalAgent_0-input-model-ChatOpenAI",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalRetrievalAgent_0-conversationalRetrievalAgent_0-input-model-ChatOpenAI",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "bufferMemory_0",
|
||||
"sourceHandle": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
|
||||
"target": "conversationalRetrievalAgent_0",
|
||||
"targetHandle": "conversationalRetrievalAgent_0-input-memory-BaseChatMemory",
|
||||
"type": "buttonedge",
|
||||
"id": "bufferMemory_0-bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory-conversationalRetrievalAgent_0-conversationalRetrievalAgent_0-input-memory-BaseChatMemory",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -2,6 +2,7 @@ import path from 'path'
|
||||
import { IChildProcessMessage, IReactFlowNode, IReactFlowObject, IRunChatflowMessageValue, INodeData } from './Interface'
|
||||
import {
|
||||
buildLangchain,
|
||||
checkMemorySessionId,
|
||||
constructGraphs,
|
||||
getEndingNode,
|
||||
getStartingNodes,
|
||||
@@ -137,7 +138,10 @@ export class ChildProcess {
|
||||
const nodeInstance = new nodeModule.nodeClass()
|
||||
|
||||
logger.debug(`[server] [mode:child]: Running ${nodeToExecuteData.label} (${nodeToExecuteData.id})`)
|
||||
const result = await nodeInstance.run(nodeToExecuteData, incomingInput.question, { chatHistory: incomingInput.history })
|
||||
|
||||
if (nodeToExecuteData.instance) checkMemorySessionId(nodeToExecuteData.instance, chatId)
|
||||
|
||||
const result = await nodeInstance.run(nodeToExecuteData, incomingInput.question, { chatHistory: incomingInput.history, chatId })
|
||||
logger.debug(`[server] [mode:child]: Finished running ${nodeToExecuteData.label} (${nodeToExecuteData.id})`)
|
||||
|
||||
await sendToParentProcess('finish', { result, addToChatFlowPool })
|
||||
|
||||
@@ -45,7 +45,8 @@ import {
|
||||
decryptCredentialData,
|
||||
clearSessionMemory,
|
||||
replaceInputsWithConfig,
|
||||
getEncryptionKey
|
||||
getEncryptionKey,
|
||||
checkMemorySessionId
|
||||
} from './utils'
|
||||
import { cloneDeep, omit } from 'lodash'
|
||||
import { getDataSource } from './DataSource'
|
||||
@@ -661,7 +662,11 @@ export class App {
|
||||
templates.push(template)
|
||||
})
|
||||
const FlowiseDocsQnA = templates.find((tmp) => tmp.name === 'Flowise Docs QnA')
|
||||
if (FlowiseDocsQnA) templates.unshift(FlowiseDocsQnA)
|
||||
const FlowiseDocsQnAIndex = templates.findIndex((tmp) => tmp.name === 'Flowise Docs QnA')
|
||||
if (FlowiseDocsQnA && FlowiseDocsQnAIndex > 0) {
|
||||
templates.splice(FlowiseDocsQnAIndex, 1)
|
||||
templates.unshift(FlowiseDocsQnA)
|
||||
}
|
||||
return res.json(templates)
|
||||
})
|
||||
|
||||
@@ -988,14 +993,24 @@ export class App {
|
||||
|
||||
isStreamValid = isStreamValid && !isVectorStoreFaiss(nodeToExecuteData)
|
||||
logger.debug(`[server]: Running ${nodeToExecuteData.label} (${nodeToExecuteData.id})`)
|
||||
|
||||
if (nodeToExecuteData.instance) checkMemorySessionId(nodeToExecuteData.instance, chatId)
|
||||
|
||||
const result = isStreamValid
|
||||
? await nodeInstance.run(nodeToExecuteData, incomingInput.question, {
|
||||
chatHistory: incomingInput.history,
|
||||
socketIO,
|
||||
socketIOClientId: incomingInput.socketIOClientId,
|
||||
logger
|
||||
logger,
|
||||
appDataSource: this.AppDataSource,
|
||||
databaseEntities
|
||||
})
|
||||
: await nodeInstance.run(nodeToExecuteData, incomingInput.question, {
|
||||
chatHistory: incomingInput.history,
|
||||
logger,
|
||||
appDataSource: this.AppDataSource,
|
||||
databaseEntities
|
||||
})
|
||||
: await nodeInstance.run(nodeToExecuteData, incomingInput.question, { chatHistory: incomingInput.history, logger })
|
||||
|
||||
logger.debug(`[server]: Finished running ${nodeToExecuteData.label} (${nodeToExecuteData.id})`)
|
||||
return res.json(result)
|
||||
|
||||
@@ -787,7 +787,7 @@ export const isFlowValidForStream = (reactFlowNodes: IReactFlowNode[], endingNod
|
||||
isValidChainOrAgent = !blacklistChains.includes(endingNodeData.name)
|
||||
} else if (endingNodeData.category === 'Agents') {
|
||||
// Agent that are available to stream
|
||||
const whitelistAgents = ['openAIFunctionAgent', 'csvAgent', 'airtableAgent']
|
||||
const whitelistAgents = ['openAIFunctionAgent', 'csvAgent', 'airtableAgent', 'conversationalRetrievalAgent']
|
||||
isValidChainOrAgent = whitelistAgents.includes(endingNodeData.name)
|
||||
}
|
||||
|
||||
@@ -908,3 +908,15 @@ export const redactCredentialWithPasswordType = (
|
||||
}
|
||||
return plainDataObj
|
||||
}
|
||||
|
||||
/**
|
||||
* Replace sessionId with new chatId
|
||||
* Ex: after clear chat history, use the new chatId as sessionId
|
||||
* @param {any} instance
|
||||
* @param {string} chatId
|
||||
*/
|
||||
export const checkMemorySessionId = (instance: any, chatId: string) => {
|
||||
if (instance.memory && instance.memory.isSessionIdUsingChatMessageId && chatId) {
|
||||
instance.memory.sessionId = chatId
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user